Recent trends and advances in fundus image analysis: A review

S Iqbal, TM Khan, K Naveed, SS Naqvi… - Computers in Biology and …, 2022 - Elsevier
Automated retinal image analysis holds prime significance in the accurate diagnosis of
various critical eye diseases that include diabetic retinopathy (DR), age-related macular …

Diabetic retinopathy techniques in retinal images: A review

N Salamat, MMS Missen, A Rashid - Artificial intelligence in medicine, 2019 - Elsevier
The diabetic retinopathy is the main reason of vision loss in people. Medical experts
recognize some clinical, geometrical and haemodynamic features of diabetic retinopathy …

Retinal vessel segmentation of color fundus images using multiscale convolutional neural network with an improved cross-entropy loss function

K Hu, Z Zhang, X Niu, Y Zhang, C Cao, F ** for retinal blood vessel segmentation
Y Zhang, M He, Z Chen, K Hu, X Li, X Gao - Expert Systems with …, 2022 - Elsevier
Retinal blood vessel segmentation in fundus images plays an important role in the early
diagnosis and treatment of retinal diseases. In recent years, the segmentation methods …

Retinal vessel segmentation based on fully convolutional neural networks

A Oliveira, S Pereira, CA Silva - Expert Systems with Applications, 2018 - Elsevier
The retinal vascular condition is a reliable biomarker of several ophthalmologic and
cardiovascular diseases, so automatic vessel segmentation may be crucial to diagnose and …

Fuzzy based image edge detection algorithm for blood vessel detection in retinal images

F Orujov, R Maskeliūnas, R Damaševičius… - Applied Soft Computing, 2020 - Elsevier
We developed a contour detection based image processing algorithm based on Mamdani
(Type-2) fuzzy rules for detection of blood vessels in retinal fundus images. The method …

M-GAN: Retinal blood vessel segmentation by balancing losses through stacked deep fully convolutional networks

KB Park, SH Choi, JY Lee - IEEE Access, 2020 - ieeexplore.ieee.org
Until now, the human expert segments retinal blood vessels manually in fundus images to
inspect human retinal-related diseases, such as diabetic retinopathy and vascular occlusion …

An efficient retinal blood vessel segmentation in eye fundus images by using optimized top-hat and homomorphic filtering

O Ramos-Soto, E Rodríguez-Esparza… - Computer Methods and …, 2021 - Elsevier
Background and objective: Automatic segmentation of retinal blood vessels makes a major
contribution in CADx of various ophthalmic and cardiovascular diseases. A procedure to …

[HTML][HTML] Human treelike tubular structure segmentation: A comprehensive review and future perspectives

H Li, Z Tang, Y Nan, G Yang - Computers in Biology and Medicine, 2022 - Elsevier
Various structures in human physiology follow a treelike morphology, which often expresses
complexity at very fine scales. Examples of such structures are intrathoracic airways, retinal …

A review of retinal vessel segmentation for fundus image analysis

Q Qin, Y Chen - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
The fundus is the only region where arteries, veins and capillaries can be directly observed.
Morphological changes of retinal vessels in the fundus are signals for the appearance of …